Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to string in row 0
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
                  df = pandas_read_json(f)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
                  obj = self._get_object_parser(self.data)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
                  self._parse()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1402, in _parse
                  self.obj = DataFrame(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
                  raise ValueError("All arrays must be of the same length")
              ValueError: All arrays must be of the same length
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2285, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 302, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
                  raise e
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
                  pa_table = paj.read_json(
                File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0

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Dataset Name: Real Call Center Conversations – English (Indian & American Accents, PII-Redacted, 50+ Hours)

Description:

This dataset comprises 449 real-world outbound call center conversations, totaling approximately 50 hours of audio, with fully aligned human-verified transcriptions. The calls are conducted in English, with Indian-accented agents and American-accented customers, capturing authentic cross-accent communication in customer service contexts.

  • πŸ—£οΈ Participants: Indian-accented agents and USA-accented customers, recorded in natural customer-agent conversations.

  • πŸ”Š Audio Format: Raw, uncompressed WAV files sampled at 8kHz, reflecting industry-standard telephony quality.

  • 🎧 Content Type: Outbound customer service calls across various domains, suitable for ASR, diarization, and NLU research.

  • πŸ“ Transcriptions: transcripts aligned with the audio files.

  • πŸ”’ PII Redaction: All personally identifiable information (PII) has been carefully redacted from both audio and transcripts, including:

    account_number, banking_information, blood_type, credit_card_number, credit_card_expiration, 
    credit_card_cvv, date, date_interval, date_of_birth, drivers_license, drug, duration, 
    email_address, event, filename, gender_sexuality, healthcare_number, injury, ip_address, 
    language, location, marital_status, medical_condition, medical_process, money_amount, 
    nationality, number_sequence, occupation, organization, passport_number, password, person_age, 
    person_name, phone_number, physical_attribute, political_affiliation, religion, statistics, 
    time, url, us_social_security_number, username, vehicle_id, zodiac_sign
    

πŸ” License: This dataset is provided strictly for research and AI model training purposes only. Commercial use, resale, or redistribution is not allowed.

πŸŽ“ Brought to you by AIxBlock – a decentralized platform for AI development and workflow automations, with a commitment to enabling the development of fair, accurate, and responsible AI systems through high-quality open datasets.

**Link to download FULL (sorry, we tried multiple time but HF uploading failed, so pls download via this GG drive link, fully open access): https://drive.google.com/drive/folders/1926b07xCDGS3esSh8qtb5NV2yCd_gOi0?usp=drive_link

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